The document discusses transforming corporate data into structured information and modularized knowledge to improve usability and decision making. It describes how unstructured data from various systems is inaccurate and redundant. When structured and integrated into business processes, the information becomes more manageable and accessible. However, information is not currently modularized for reuse across projects. The document advocates transforming data into knowledge through classification and experience to enable employees to easily access and collaborate on accurate information with confidence.
Implementation plan for a De Novo Mortgage bank. Looks at all aspects of the setup from Human Capital, Facilities Implementation, Technology, Support Functions & Vendor Development and Sales and Marketing, Licensing and Registration, Business Documentation, Funding and Exit Strategies
Strategically Manage Data Quality in an ERP RolloutVipul Aroh
Many large companies with complex IT landscapes are consolidating ERP/ EAM platforms to deliver improved operational visibility and decision velocity to business.
While such roll out projects focus on aligning business requirements with ERP/EAM functionalities and configurations, many teams overlook one of the most business-critical factors - Strategic data quality.
This deck seeks to covers-
Tactical v/s Strategic approaches to data quality in ERP roll-outs
Case studies of large ERP roll outs - winners and losers
Pitfalls to avoid in ERP/ EAM material data quality projects
Implementation plan for a De Novo Mortgage bank. Looks at all aspects of the setup from Human Capital, Facilities Implementation, Technology, Support Functions & Vendor Development and Sales and Marketing, Licensing and Registration, Business Documentation, Funding and Exit Strategies
Strategically Manage Data Quality in an ERP RolloutVipul Aroh
Many large companies with complex IT landscapes are consolidating ERP/ EAM platforms to deliver improved operational visibility and decision velocity to business.
While such roll out projects focus on aligning business requirements with ERP/EAM functionalities and configurations, many teams overlook one of the most business-critical factors - Strategic data quality.
This deck seeks to covers-
Tactical v/s Strategic approaches to data quality in ERP roll-outs
Case studies of large ERP roll outs - winners and losers
Pitfalls to avoid in ERP/ EAM material data quality projects
Strong history of delivering complex IT projects on time, within budget/specifications and without compromising performance by employing expertise in business planning, technology right-sizing, IT financial planning and operations management. Proficient in troubleshooting, resource allocation/maximization, change management, continued process improvement and new technology introduction. Experienced in creating scalable technology infrastructures from the ground up and expanding technology capabilities during growth and change. Possess integrated understanding of technical, liability, vulnerability and compliance perspectives related to managing IT security and risk issues; proven ability to apply technology initiatives to broad range of business operations through understanding of how technology solutions drive business results. Reputation for focused work ethic, exceptional infrastructure management capabilities and ability to successfully formulate advanced technology solutions that meet diversity of corporate/customer needs.
The Key Challenges in Implementing Enterprise Asset Management SystemsBarcoding, Inc.
Jackie Luo, CEO, E-ISG Asset Intelligence, explains how enterprise asset management (EAM) can be a challenge when organizations have disparate systems, varying levels of staff participation and multiple processes. During this discussion, Luo details why analyzing EAM’s key factors—people, process and technology – can help organizations overcome issues when deploying such business systems.
Achieving Operational Excellence in the Upstream Oil and Gas Industry with th...Rolta
Upstream oil and gas companies are operating in challenging times. They are trying to maintain optimal production levels, while increasing recoverable reserves, and reducing unplanned well down-time. They are implementing processes to improve their use of technology to proactively detect anomalies, manage remote well operations, organize logistics and improve enhanced recovery from reservoirs they acquire and develop. With Rolta OneView and SAP software, including rapid-deployment options, they can gather and analyze data across these key areas to support informed decisions that can help you improve performance.
WEBINAR: Align your Enterprise with Powerful Analytics! Oracle EPBCS (Enterpr...Amber Wallace
Learn the first-hand features and benefits of Oracle EPBCS:
Powerful analytics dashboards, what-if and predictive capabilities to reveal unparalleled insights into your business
Dashboards that are easy to use, maintain, and get up and running in no time
Intuitive business wizards which allow you to evolve your planning process as the business changes
A configurable, upgradable planning framework to tailor your planning solution specific to the business requirements
Analytics and AIM Improve Operational and Asset PerformanceRolta
Operational excellence (OpX) is the key to success in all asset-intensive industries. This includes excellence in operations management, asset performance, capital effectiveness, and environmental health and safety (EHS) compliance. To meet these goals, it’s essential for organizations to manage both engineering information and operational data effectively.
Strong history of delivering complex IT projects on time, within budget/specifications and without compromising performance by employing expertise in business planning, technology right-sizing, IT financial planning and operations management. Proficient in troubleshooting, resource allocation/maximization, change management, continued process improvement and new technology introduction. Experienced in creating scalable technology infrastructures from the ground up and expanding technology capabilities during growth and change. Possess integrated understanding of technical, liability, vulnerability and compliance perspectives related to managing IT security and risk issues; proven ability to apply technology initiatives to broad range of business operations through understanding of how technology solutions drive business results. Reputation for focused work ethic, exceptional infrastructure management capabilities and ability to successfully formulate advanced technology solutions that meet diversity of corporate/customer needs.
The Key Challenges in Implementing Enterprise Asset Management SystemsBarcoding, Inc.
Jackie Luo, CEO, E-ISG Asset Intelligence, explains how enterprise asset management (EAM) can be a challenge when organizations have disparate systems, varying levels of staff participation and multiple processes. During this discussion, Luo details why analyzing EAM’s key factors—people, process and technology – can help organizations overcome issues when deploying such business systems.
Achieving Operational Excellence in the Upstream Oil and Gas Industry with th...Rolta
Upstream oil and gas companies are operating in challenging times. They are trying to maintain optimal production levels, while increasing recoverable reserves, and reducing unplanned well down-time. They are implementing processes to improve their use of technology to proactively detect anomalies, manage remote well operations, organize logistics and improve enhanced recovery from reservoirs they acquire and develop. With Rolta OneView and SAP software, including rapid-deployment options, they can gather and analyze data across these key areas to support informed decisions that can help you improve performance.
WEBINAR: Align your Enterprise with Powerful Analytics! Oracle EPBCS (Enterpr...Amber Wallace
Learn the first-hand features and benefits of Oracle EPBCS:
Powerful analytics dashboards, what-if and predictive capabilities to reveal unparalleled insights into your business
Dashboards that are easy to use, maintain, and get up and running in no time
Intuitive business wizards which allow you to evolve your planning process as the business changes
A configurable, upgradable planning framework to tailor your planning solution specific to the business requirements
Analytics and AIM Improve Operational and Asset PerformanceRolta
Operational excellence (OpX) is the key to success in all asset-intensive industries. This includes excellence in operations management, asset performance, capital effectiveness, and environmental health and safety (EHS) compliance. To meet these goals, it’s essential for organizations to manage both engineering information and operational data effectively.
I have over sixteen years of experience with numerous industries and specialty areas Insurance, Banking, Telecommunications, Retail, Life Sciences, Manufacturing, and Score carding in the design, development, implementation, and support of information technology systems across a variety of hardware environments. I'm knowledgeable in all aspects of designing and constructing efficient data warehouses, operational data stores, and data marts, and have performed as a lead database designer/modeler and application specialist with direct responsibility for managing project teams. I'm adept at translating business needs into physical design specifications and providing quality deliverable that exceed client expectations.
Have you begun to see the value of Enterprise Data Management? If so, perhaps you’ve decided that simply buying more hardware is no longer a viable option for your IT department. Despite the ever-falling cost of hardware, each new machine you add will increase your labor, power, and cooling costs over time.
Utilizing Dashboards to improve efficiencyThomas Bronack
The dashboard I create provides control over the Infrastructure, Systems Development Life Cycle (SDLC), Production Operations, Recovery Management, and Compliance by providing a front-end to current accurate information associated with Planning and Activation processes. It can be used from any location and at anytime. You can drill down to the actual task being performed and it will provide you with the contact information of the person performing the task so you can provide leadership or get updated status.
Best Practices and industry definition overview of Substitutes and Alternates...Ad Ghauri
Best Practices and industry definition overview of Substitutes
Alternates and Substitutes in reference to form fit and function (FFF) basis
Functional Location and interchangeability
List of values Best Practices
Specific to Teamcenter
cascading pick lists teamcenter
dependent pick lists in teamcenter
list of values teamcenter
lov best practices
Understanding change impact across the electronics software, hardware, and fi...Ad Ghauri
Business Challenges
- Software development is often isolated from other development groups
- Source code management is usually performed in isolated SCM applications
- Software components are not managed within the product configuration
- Software build workflow processes are inconsistent with product development
- Software features are not traceable to product requirements
A journey from an Ordinary to Federated Bill of Material
An Enterprise Part is when a user can simply right mouse click on a part and get impact and other insights into financial, scheduling, reliability, design, competition, sales, marketing, and extended supply chain information on it. Complete BOM federation cannot be achieved with only single BOM concept
1. Turn your Data into Knowledge
Modularize your data for repeatable
and accurate usage
Ad Ghauri
2. Current State Data Maturity
Data
Information
Knowledge
Inaccurate, redundant,
duplicated, unreliable, and
unknown data resides in ERP,
MRP, MES, MRO, CAD, DCS,
Simulation, Design & Engineering
systems throughout enterprises
Required information exists in
enterprises but is stored in
multiple systems not linked to
physical assets (Plants, Wells,
Platforms) with little context of
business and operating model?
Enterprise knowledge is not
modularized to enable reuse and
repurpose for new projects and
information in not accessible in
the form of knowledge for
operations, training, and projects.
3. Future State Data Maturity
Data
Information
Knowledge
Take your overwhelming unstructured
data from simulation, design, engineering,
operations and maintenance systems
Turn it into structured data while
removing redundancies and inefficiencies.
Filter your structured data to
purposeful information. Integrate
this data into your business
processes and assets by useful
classification so that it becomes
manageable and easily accessible.
Enable your employees, partners,
and extended supply chain to easily
access, re-use, share, and
collaborate accurate information in
business processes and applications
with certainty
4. Take your overwhelming unstructured data from simulation, design, engineering, operations and maintenance systems
Turn it into structured data while removing redundancies and inefficiencies.
Corporate data
capture and re-
alignment
• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and
external sources when captured and structured provides better control. Different disciplines value data differently and its value is
realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.
• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous.
• Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental
and quality compliances across corporation may fail.
Engineering
data
structuring in
context of
plant
• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more
conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer,
procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M
phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant
design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures
reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.
• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.
Procurement
data is driven
by construction
timelines and
project
controls
• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates,
Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and
managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for
Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections,
Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.
• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct
materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.
Construction
mirrors design
and is driven
by project
controls
• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as
constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site
layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls,
plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.
• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all
phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with
project cost, schedule, work, and asset breakdown structures.
Operations and
Maintenance
requires data
accuracy and
reliability
strategies
• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply
chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall,
warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.
• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are
progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model,
through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.
Did you know that even today inaccurate, redundant, duplicated, unreliable, and unknown data resides in ERP, MRP, MES, MRO, CAD, DCS,
Simulation, Design & Engineering systems throughout enterprises
Data to Information
5. Filter your structured data to purposeful information. Integrate this data into your business processes and assets by useful classification so
that it becomes manageable and easily accessible.
Corporate
information
accessible
across the
enterprise
• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and
external sources when captured and structured provides better control. Different disciplines value data differently and its value is
realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.
• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous.
• Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental
and quality compliances across corporation may fail.
Engineering
information
available for
application
• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more
conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer,
procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M
phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant
design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures
reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.
• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.
Procurement
information
and project
controls
synched up
• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates,
Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and
managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for
Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections,
Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.
• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct
materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.
Construction is
done right first
time and on
time
• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as
constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site
layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls,
plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.
• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all
phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with
project cost, schedule, work, and asset breakdown structures.
Operations and
Maintenance is
safer and more
reliable
• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply
chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall,
warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.
• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are
progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model,
through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.
Did you know that even today the required information exists in enterprises but is stored in multiple systems not linked to physical assets
(Plants, Wells, Platforms) with little context of business and operating model?
Information to Knowledge
Did you know that information is classification of data
enabling quick and relevant access at the time of need
and application.
Categorization of information transformation into
knowledge across different organizational disciplines
helps to gage importance of influential data and how
to best access it.
6. Enable your employees, partners, and extended supply chain to easily access, re-use, share, and collaborate accurate information in
business processes and applications with certainty
Corporate
knowledge is
used, reused,
and trusted
• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and
external sources when captured and structured provides better control. Different disciplines value data differently and its value is
realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.
• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous.
• Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental
and quality compliances across corporation may fail.
Engineering
knowledge is
accessible real-
time for
training,
analysis, and
execution
• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more
conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer,
procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M
phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant
design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures
reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.
• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.
Procurement
knowledge
fully
embedded in
project
controls
• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates,
Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and
managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for
Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections,
Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.
• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct
materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.
Construction is
modularized
based on
global design
• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as
constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site
layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls,
plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.
• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all
phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with
project cost, schedule, work, and asset breakdown structures.
Operations and
Maintenance is
more proactive
and less
reactive
• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply
chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall,
warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.
• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are
progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model,
through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.
Did you know that even today the information in enterprises is not modularized to enable reuse and repurpose for new projects? And
information in not accessible in the form of knowledge for operations, training, and projects.
Knowledge to Business Intelligence
Did you know that Knowledge is lost by companies
every day as one or more of their employees leave the
company
The business intelligence tell us where and what is
happing and provides trends for how to best apply
what we know and what we don’t…
7. Data transformation
Data Information Knowledge
What should go here?
What do you think
knowledge is?
Is knowledge an
application of
information gained from
experience?
Or is it where data is used
as information to make
decisions based on
experience?
Facts, information, and skills acquired by a person through experience or education; the
theoretical or practical understanding of a subject.
Awareness or familiarity gained by experience of a fact or situation.
Definitionfrom Google.com